thoglu / jammy_flows
A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.
☆42Updated last year
Alternatives and similar repositories for jammy_flows:
Users that are interested in jammy_flows are comparing it to the libraries listed below
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated 2 weeks ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆50Updated last year
- A system for scientific simulation-based inference at scale.☆163Updated 10 months ago
- Gravitational-wave data analysis tools in Jax☆63Updated this week
- nessai: Nested Sampling with Artificial Intelligence☆38Updated 2 weeks ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆31Updated last year
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆60Updated 2 weeks ago
- ☆24Updated last year
- Simulation-based inference in JAX☆30Updated this week
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆209Updated this week
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆36Updated last year
- A differentiable cosmology library in JAX☆194Updated 2 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆122Updated 5 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆109Updated 3 weeks ago
- ☆25Updated 2 years ago
- ☆16Updated 4 years ago
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆65Updated 7 months ago
- Differentiable and accelerated spherical transforms with JAX☆145Updated this week
- Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation☆10Updated 2 years ago
- Probabilistic Programming and Nested sampling in JAX☆167Updated 2 months ago
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆15Updated 11 months ago
- ☆16Updated 2 years ago
- Dingo: Deep inference for gravitational-wave observations☆72Updated this week
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last year
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆23Updated 10 months ago
- Differentiable and accelerated wavelet transform on the sphere with JAX☆17Updated 10 months ago
- Differentiable Gravitational Waveforms with JAX☆55Updated 5 months ago
- Gradient Based Nested Sampling☆19Updated last year